McGuireWoods LLP

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Data Analytics Scientist

Data Analytics Scientist

Job Location 
US-VA-Richmond
Category 
Information Technology

More information about this job

Overview

The Data Analytics Scientist is responsible for business optimization through detailed analysis of data. This person will drive strategic firm initiatives to deliver business impact through the research, analysis and interpretation of data. Daily operations will include oversight of analytics needs, from planning through execution. This position is the primary contact for all data analytics related issues and escalations. 

 

McGuireWoods LLP is a global law firm with a legacy reaching back more than 175 years.  We are strong in the traditional legal practices such as litigation and corporate law, but we are also leaders in rapidly expanding fields such as data privacy and security, the life sciences, private equity, and healthcare, among many others.  We offer the opportunity to grow through an extensive range of legal practice areas and industries, and to work in locations around the world.  Perhaps the most attractive aspect of joining our firm is the opportunity to work with our lawyers and leaders, all of whom reflect the value McGuireWoods places on experience, talent and diversity.  For more information, please visit www.mcguirewoods.com.

Responsibilities

  • Collaborate with lawyers and staff to identify opportunities to solve problems and gain insight to client and other firm issues. This role directs data analytics for proper and efficient utilization of data to bring understanding to complex situations.
  • Assist other IT departments with advanced functions of software tools, i.e. combining data files, using complex Excel functions, etc.
  • Develop data preparation, sample design, and identify appropriate analytic and statistical methodology, and document process and results.
  • Analyze and model structured data using advanced statistical methods, and implement software/algorithms to perform analysis.
  • Perform machine learning, natural language, and statistical analysis methods as appropriate, such as classification, collaborative filtering, association rules, sentiment analysis, topic-modeling, time-series analysis.
  • Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data, identify patterns and interpret results, and be able to explain to all levels of stakeholders.

Qualifications

  • At least 7-10 years of data analytics experience in a professional services firm or similar environment with proven experience using large amounts of data to solve analytical problems.
  • Business acumen with excellent statistical and analytical skills, problem solving skills, and communication skills.
  • Experience with R programming language. (Python or SAS would be a plus as well).
  • Experience with the application of advanced data analytics, including data and text mining, predictive modeling, risk-based optimization and advanced operations research, and data visualization.
  • Working knowledge of databases and SQL.
  • Requires a Bachelor’s Degree in a technical or quantitative field; Master or MBA degree preferred.
  • Have more questions?  Connect with a recruiter directly.

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